Rising Temperatures in Southern California

Recently, there has been scorching heat in Southern California. Seriously, it was 100°F just a few hours ago! Is this heat wave normal or part of a greater trend?

First, I used the WeatherData[] command to get the monthly temperatures (2011 to 2015) from the five largest cities in Southern California: Los Angeles, San Diego, Long Beach, Bakersfield, and Anaheim, in order.

laWeather = 
 WeatherData["LosAngeles", 
 "MeanTemperature", {{2011, 9, 19}, {2015, 9, 19}, "Month"}];
sdWeather = 
 WeatherData["SanDiego", 
 "MeanTemperature", {{2011, 9, 19}, {2015, 9, 19}, "Month"}];
lbWeather = 
 WeatherData["LongBeach", 
 "MeanTemperature", {{2011, 9, 19}, {2015, 9, 19}, "Month"}];
bfWeather = 
 WeatherData["Bakersfield", 
 "MeanTemperature", {{2011, 9, 19}, {2015, 9, 19}, "Month"}];
aWeather = 
 WeatherData["Anaheim", 
 "MeanTemperature", {{2011, 9, 19}, {2015, 9, 19}, "Month"}];

Then, I graphed the data using DateListPlot[]. The temperatures are shown in degrees Celsius. Note that the rising and falling is caused by the seasons.

DateListPlot[{laWeather, sdWeather, lbWeather, bfWeather, aWeather},
 Joined -> {True, True, True},
 PlotLabel -> 
 Style["Monthy Temperature of Los Angeles, San Diego, Long Beach, \
Bakersfield, and Anaheim from 2011-2015", 18],
 PlotLegends -> {"Los Angeles", "San Diego", "Long Beach", 
 "Bakersfield", "Anaheim"}
 ]

nsocal1

There does seem to be a slight upward trend. I got 20 years of data–from 1995 to 2015–and graphed that too.

laWeatherLong(*Long for long-term*)= 
 WeatherData["LosAngeles", 
 "MeanTemperature", {{1995, 9, 19}, {2015, 9, 19}, "Month"}];
sdWeatherLong = 
 WeatherData["SanDiego", 
 "MeanTemperature", {{1995, 9, 19}, {2015, 9, 19}, "Month"}];
lbWeatherLong = 
 WeatherData["LongBeach", 
 "MeanTemperature", {{1995, 9, 19}, {2015, 9, 19}, "Month"}];
bfWeatherLong = 
 WeatherData["Bakersfield", 
 "MeanTemperature", {{1995, 9, 19}, {2015, 9, 19}, "Month"}];
aWeatherLong = 
 WeatherData["Anaheim", 
 "MeanTemperature", {{1995, 9, 19}, {2015, 9, 19}, "Month"}];

DateListPlot[{laWeatherLong, sdWeatherLong, lbWeatherLong, 
 bfWeatherLong, aWeatherLong},
 Joined -> {True, True, True},
 PlotLabel -> 
 Style["Monthly Temperature of Los Angeles, San Diego, Long Beach, \
Bakersfield, and Anaheim from 1995-2015", 18],
 PlotLegends -> {"Los Angeles", "San Diego", "Long Beach", 
 "Bakersfield", "Anaheim"}
 ]

socal4

…And there is no major trend, although the most recent temperatures seem to be rising more than usual. It also seems that Bakersfield has the most extreme weather. In the past, there was a little more seasonal variation in the other four cities than there is now. (NOTE: Temperatures aren’t everything. Precipitation, humidity, and other factors are signs of climate change.)

However, the heat wave that has been going on for the past week or so can be seen very clearly on the graph below. I retrieved more data and plotted them.

laWeatherDay(*Day for daily*)= 
 WeatherData["LosAngeles", 
 "MeanTemperature", {{2015, 9, 5}, {2015, 9, 19}, "Day"}];
sdWeatherDay = 
 WeatherData["SanDiego", 
 "MeanTemperature", {{2015, 9, 5}, {2015, 9, 19}, "Day"}];
lbWeatherDay = 
 WeatherData["LongBeach", 
 "MeanTemperature", {{2015, 9, 5}, {2015, 9, 19}, "Day"}];
bfWeatherDay = 
 WeatherData["Bakersfield", 
 "MeanTemperature", {{2015, 9, 5}, {2015, 9, 19}, "Day"}];
aWeatherDay = 
 WeatherData["Anaheim", 
 "MeanTemperature", {{2015, 9, 5}, {2015, 9, 19}, "Day"}];

DateListPlot[{laWeatherDay, sdWeatherDay, lbWeatherDay, bfWeatherDay, 
 aWeatherDay},
 Joined -> {True, True, True},
 PlotLabel -> 
 Style["Daily Temperature of Los Angeles, San Diego, Long Beach, \
Bakersfield, and Anaheim from August 9-19, 2015", 17],
 PlotLegends -> {"Los Angeles", "San Diego", "Long Beach", 
 "Bakersfield", "Anaheim"}
 ]

nsocal3

The massive spike in temperature must have been when it was very humid, while the more recent dip was probably the rain. I was quite surprised, because us Southern Californians aren’t used to seeing water falling out of the sky.

P.S.- As I write this, there is no AC. I am desperately waiting for tomorrow, when there is a slight chance of rain.

noAC

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